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The Research of E-learning Resources' Construction based on the Discovery-Driven Exploration of Data Cubes

机译:基于发现驱动的数据多维数据集的电子学习资源建设研究

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The construction of e-learning, that user must add new values to the E-learning resources by adding their collective intelligence to the sites they visit. So it is important to concern the influence of the individual. This research introduces data mining of discovery-driven exploration methods for the Special visitors in some Community were suspected. And the data distribution for the education level of visitors virtually the same, the three residual numbers of Selfexp, Inexp, Pathexp determined by improving, used the values of LOF (p) based on the density Outlier Detection.
机译:电子学习的构建,该用户必须通过将他们的集体智能添加到他们访问的网站来向电子学习资源添加新值。因此,关注个人的影响是很重要的。本研究介绍了某些社区特殊参观者的发现驱动探测方法的数据挖掘。并且,访问者的教育水平的数据分布几乎相同,通过改进的三个剩余数量的自拍,Inexp,基于密度异常检测使用LOF(P)的值。

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